L\'evy statistics in coding and non-coding nucleotide sequences
Statistical Mechanics
2009-11-07 v1 q-bio
Abstract
We propose a new method of statistical analysis of nucleotide sequences yielding the true scaling without requiring any form of de-trending. With the help of artificial sequences that are proved to be statistically equivalent to the real DNA sequences we find that power-law correlations are present in both coding and non-coding sequences, in accordance with the recent work of other authors. We also afford a compelling evidence that these long-range correlations generate L\'evy statistics in both types of sequences.
Keywords
Cite
@article{arxiv.cond-mat/0105041,
title = {L\'evy statistics in coding and non-coding nucleotide sequences},
author = {Nicola Scafetta and Vito Latora and Paolo Grigolini},
journal= {arXiv preprint arXiv:cond-mat/0105041},
year = {2009}
}
Comments
4 pages, 2 figures